Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "3" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 56 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 54 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.820160 | -0.795809 | -0.233951 | -0.674190 | 0.602250 | 0.242084 | 1.087444 | 2.344773 | 0.6880 | 0.6727 | 0.3940 | nan | nan |
| 2459870 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 429.304761 | 429.881970 | inf | inf | 8550.266510 | 8653.878936 | 13972.898375 | 14323.555600 | nan | nan | nan | nan | nan |
| 2459869 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.930981 | -1.310114 | -0.253800 | -0.687988 | 0.502643 | -0.172940 | 0.714890 | 1.252775 | 0.6976 | 0.6977 | 0.3892 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.296715 | -1.016827 | -0.105207 | -0.228810 | -0.091806 | 0.342855 | 0.055194 | 6.156703 | 0.6782 | 0.6708 | 0.4055 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.412364 | -0.774587 | -0.288920 | -0.338938 | -0.560672 | -0.680655 | 0.004755 | 3.765757 | 0.6915 | 0.6770 | 0.4047 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.467435 | -0.879392 | -0.111464 | 0.292447 | -0.800000 | -1.087046 | -0.253755 | 1.376796 | 0.6903 | 0.6781 | 0.3983 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.410978 | -0.186479 | 3.268034 | 5.004698 | 0.460621 | -0.316748 | 0.572737 | 4.504696 | 0.7118 | 0.6994 | 0.3637 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.487152 | -1.187158 | -0.879534 | -0.746216 | -0.345483 | -0.438703 | 0.159052 | 12.813750 | 0.6861 | 0.6700 | 0.4164 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.758173 | -0.433084 | -0.490390 | 0.158831 | -0.982654 | 0.450447 | 0.043928 | 6.511208 | 0.6794 | 0.6601 | 0.4078 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.081028 | -0.625736 | -0.550608 | -1.325855 | -0.557072 | 0.552574 | 0.199103 | 1.367909 | 0.6629 | 0.6905 | 0.4218 | nan | nan |
| 2459861 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.791438 | -0.395894 | -0.421539 | 0.312928 | -0.938334 | 1.204274 | 0.069127 | 5.424877 | 0.6941 | 0.6753 | 0.4188 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.987722 | -0.945395 | -0.407886 | -1.118888 | 1.091972 | -0.280360 | -0.125782 | 1.141041 | 0.7003 | 0.6720 | 0.4147 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.219729 | -0.401311 | -0.404711 | 0.310385 | -0.859581 | 0.997467 | 0.830099 | 1.763336 | 0.7037 | 0.6761 | 0.4127 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.719635 | -0.254575 | -0.439565 | 0.227771 | -0.963429 | 1.721723 | -0.068326 | 3.413082 | 0.7139 | 0.6830 | 0.4236 | 1.941594 | 1.490051 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.609114 | 0.599952 | -0.082325 | 0.084234 | -0.341731 | -0.270311 | 0.279645 | 1.382129 | 0.0286 | 0.0255 | 0.0016 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.798066 | -1.094265 | -0.408065 | -1.166277 | -0.107066 | -0.511802 | -0.000454 | 0.809177 | 0.7031 | 0.6957 | 0.4113 | 3.332482 | 2.750183 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.367148 | -1.260323 | -0.339412 | 0.840626 | -0.920421 | -0.492947 | -0.036955 | 1.191944 | 0.6863 | 0.7071 | 0.4438 | 3.070426 | 2.692669 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.518444 | -1.280993 | -0.599644 | 0.308252 | -1.070952 | -0.740035 | -0.722838 | 2.442702 | 0.6990 | 0.7375 | 0.4520 | 2.971897 | 2.552137 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.950398 | -1.160457 | -0.630322 | 0.406985 | -0.147540 | -0.750886 | -0.344824 | 2.484618 | 0.7311 | 0.6836 | 0.4337 | 1.816492 | 1.450471 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 7.03% | 1.330922 | -1.688056 | -0.624984 | -0.088587 | -0.421556 | 0.749507 | 1.567465 | 2.216688 | 0.8185 | 0.8282 | 0.2528 | 3.193383 | 2.764815 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 0.00% | 3.875404 | -0.324838 | -0.480046 | 0.401817 | 0.402833 | 0.715361 | -0.317282 | 1.264174 | 0.7552 | 0.7427 | 0.3403 | 1.953934 | 1.500422 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.701449 | -1.156305 | -0.511974 | 0.436454 | -0.604114 | 0.011263 | -0.437143 | 3.539540 | 0.7296 | 0.7477 | 0.3620 | 3.018421 | 2.610904 |
| 2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.645850 | -1.525966 | -0.152368 | 0.837848 | -0.796057 | 0.144916 | 0.267423 | 2.262998 | 0.7270 | 0.7398 | 0.3680 | 3.780100 | 3.002110 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.530927 | -0.895665 | -0.196171 | -0.387607 | -0.161438 | 0.333238 | -0.256509 | 0.922373 | 0.7045 | 0.7424 | 0.3887 | 2.941791 | 2.627077 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.810873 | -0.705592 | -0.098687 | -0.484856 | 0.744949 | -0.899290 | -0.626227 | 1.783275 | 0.7110 | 0.6780 | 0.4361 | 4.615735 | 4.098238 |
| 2459846 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 33.33% | 0.00% | 3.558579 | -0.632615 | -0.640534 | -0.684342 | 0.148281 | 0.097354 | -0.548214 | 0.077237 | 0.8242 | 0.6686 | 0.5043 | 1.646536 | 1.415000 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.946270 | -1.019034 | -0.152910 | -0.903419 | 0.004717 | -0.112114 | 0.673800 | 0.602304 | 0.7202 | 0.7478 | 0.3791 | 6.314345 | 7.256069 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.561198 | -0.561607 | -0.700940 | 0.647574 | 0.035712 | -0.050098 | 1.029362 | 0.453983 | 0.0278 | 0.0249 | 0.0017 | nan | nan |
| 2459843 | digital_ok | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 7.514284 | -1.445634 | -0.887548 | 1.213504 | -0.490393 | 0.670711 | -0.247603 | 1.917094 | 0.7331 | 0.7400 | 0.3904 | 3.642357 | 3.483257 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.627513 | -0.264344 | 0.105212 | 1.513825 | -0.437266 | 0.881351 | 0.249019 | 1.122774 | 0.7334 | 0.6419 | 0.2723 | 2.160528 | 1.952951 |
| 2459841 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.026254 | 0.130047 | -0.792910 | 1.537038 | 0.919595 | -1.814375 | 0.669910 | 0.253573 | 0.0279 | 0.0247 | 0.0018 | nan | nan |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.092125 | -0.793135 | -0.164026 | 0.154233 | 0.822334 | -0.478821 | 1.261926 | 0.500024 | 0.0271 | 0.0233 | 0.0021 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 1.548185 | 1.229118 | -0.410279 | 0.573191 | 0.540997 | -0.591767 | 1.197497 | -0.014327 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.788321 | -1.096294 | -0.144128 | -0.611147 | 0.826472 | -0.505020 | -0.699414 | 1.393617 | 0.7260 | 0.6767 | 0.4212 | 4.929735 | 4.457380 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0321 | 0.0322 | 0.0012 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.314803 | 0.275690 | -1.068169 | -0.503510 | -1.410140 | 0.740483 | -0.375719 | 1.966680 | 0.0316 | 0.0325 | 0.0011 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.081503 | 0.129111 | -0.472796 | -0.053719 | -1.216633 | -0.103471 | 0.592269 | 1.150497 | 0.0280 | 0.0267 | 0.0017 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.805642 | -0.890584 | -0.819767 | -0.865884 | -0.296672 | -0.038974 | -0.485155 | 1.196451 | 0.7929 | 0.4997 | 0.6062 | 3.208423 | 2.858671 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.014442 | 0.729882 | -0.631616 | 0.537001 | -0.167571 | -1.302506 | 0.856504 | 0.215576 | 0.0287 | 0.0325 | 0.0025 | nan | nan |
| 2459830 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.136659 | -1.166878 | -0.424100 | -0.634728 | 1.242542 | -0.685451 | 0.050673 | 4.663183 | 0.7293 | 0.6325 | 0.4367 | inf | inf |
| 2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.682368 | -0.508153 | -0.662242 | -0.279927 | -0.237386 | -0.874803 | -0.671637 | 1.102550 | 0.7834 | 0.5134 | 0.5665 | 1.711929 | 1.442925 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.000718 | -0.634646 | 0.148403 | -0.816729 | 0.967669 | -0.491830 | -0.247534 | 0.414223 | 0.7361 | 0.6378 | 0.4388 | 10.544967 | 7.645199 |
| 2459826 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.302315 | -0.775620 | -0.331428 | -0.822916 | -0.604101 | -0.764743 | -0.844329 | 1.913531 | 0.7782 | 0.5287 | 0.5438 | 1.449985 | 1.098983 |
| 2459825 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.165550 | -0.399574 | -0.712789 | -0.531448 | 10.408255 | 10.604000 | 4.750487 | 4.295631 | 0.7745 | 0.5344 | 0.5460 | 3.602064 | 2.775525 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 190.771639 | 190.692969 | inf | inf | 2234.238096 | 2236.246761 | 4906.128936 | 4886.630179 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.028098 | -0.886778 | -0.614288 | -0.868830 | -0.272488 | -1.225077 | -0.753297 | -0.665162 | 0.7435 | 0.5950 | 0.4969 | 2.247465 | 2.454165 |
| 2459822 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.740368 | -0.884883 | -0.690691 | -0.577828 | 1.706936 | 1.331262 | 3.539642 | 3.375140 | 0.7767 | 0.5600 | 0.5413 | 1.818021 | 1.531939 |
| 2459821 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.790110 | 0.626112 | -0.519388 | -0.884478 | 0.094252 | 0.000630 | 0.080885 | 0.527779 | 0.7671 | 0.5732 | 0.5352 | 1.767216 | 1.518543 |
| 2459820 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 328.427068 | 328.728360 | inf | inf | 611.179575 | 644.225075 | 1969.613362 | 2072.796953 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.301238 | -0.878324 | -0.936657 | -0.832343 | -0.286897 | -0.187931 | -0.660776 | 1.124186 | 0.8288 | 0.5713 | 0.6087 | 1.645711 | 1.346757 |
| 2459815 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.820160 | -0.795809 | 3.820160 | -0.674190 | -0.233951 | 0.242084 | 0.602250 | 2.344773 | 1.087444 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Power | inf | 429.304761 | 429.881970 | inf | inf | 8550.266510 | 8653.878936 | 13972.898375 | 14323.555600 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 6.930981 | 6.930981 | -1.310114 | -0.253800 | -0.687988 | 0.502643 | -0.172940 | 0.714890 | 1.252775 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 8.296715 | 8.296715 | -1.016827 | -0.105207 | -0.228810 | -0.091806 | 0.342855 | 0.055194 | 6.156703 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.412364 | 5.412364 | -0.774587 | -0.288920 | -0.338938 | -0.560672 | -0.680655 | 0.004755 | 3.765757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 6.467435 | -0.879392 | 6.467435 | 0.292447 | -0.111464 | -1.087046 | -0.800000 | 1.376796 | -0.253755 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 8.410978 | 8.410978 | -0.186479 | 3.268034 | 5.004698 | 0.460621 | -0.316748 | 0.572737 | 4.504696 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 12.813750 | -1.187158 | 8.487152 | -0.746216 | -0.879534 | -0.438703 | -0.345483 | 12.813750 | 0.159052 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 6.511208 | 4.758173 | -0.433084 | -0.490390 | 0.158831 | -0.982654 | 0.450447 | 0.043928 | 6.511208 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.081028 | 5.081028 | -0.625736 | -0.550608 | -1.325855 | -0.557072 | 0.552574 | 0.199103 | 1.367909 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 5.424877 | -0.395894 | 3.791438 | 0.312928 | -0.421539 | 1.204274 | -0.938334 | 5.424877 | 0.069127 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.987722 | 3.987722 | -0.945395 | -0.407886 | -1.118888 | 1.091972 | -0.280360 | -0.125782 | 1.141041 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.219729 | 3.219729 | -0.401311 | -0.404711 | 0.310385 | -0.859581 | 0.997467 | 0.830099 | 1.763336 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.719635 | -0.254575 | 3.719635 | 0.227771 | -0.439565 | 1.721723 | -0.963429 | 3.413082 | -0.068326 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 1.382129 | 0.599952 | 0.609114 | 0.084234 | -0.082325 | -0.270311 | -0.341731 | 1.382129 | 0.279645 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.798066 | 5.798066 | -1.094265 | -0.408065 | -1.166277 | -0.107066 | -0.511802 | -0.000454 | 0.809177 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.367148 | -1.260323 | 5.367148 | 0.840626 | -0.339412 | -0.492947 | -0.920421 | 1.191944 | -0.036955 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.518444 | -1.280993 | 5.518444 | 0.308252 | -0.599644 | -0.740035 | -1.070952 | 2.442702 | -0.722838 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 2.950398 | -1.160457 | 2.950398 | 0.406985 | -0.630322 | -0.750886 | -0.147540 | 2.484618 | -0.344824 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 2.216688 | 1.330922 | -1.688056 | -0.624984 | -0.088587 | -0.421556 | 0.749507 | 1.567465 | 2.216688 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.875404 | 3.875404 | -0.324838 | -0.480046 | 0.401817 | 0.402833 | 0.715361 | -0.317282 | 1.264174 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 4.701449 | 4.701449 | -1.156305 | -0.511974 | 0.436454 | -0.604114 | 0.011263 | -0.437143 | 3.539540 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.645850 | 5.645850 | -1.525966 | -0.152368 | 0.837848 | -0.796057 | 0.144916 | 0.267423 | 2.262998 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.530927 | -0.895665 | 5.530927 | -0.387607 | -0.196171 | 0.333238 | -0.161438 | 0.922373 | -0.256509 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.810873 | -0.705592 | 5.810873 | -0.484856 | -0.098687 | -0.899290 | 0.744949 | 1.783275 | -0.626227 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.558579 | 3.558579 | -0.632615 | -0.640534 | -0.684342 | 0.148281 | 0.097354 | -0.548214 | 0.077237 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 6.946270 | -1.019034 | 6.946270 | -0.903419 | -0.152910 | -0.112114 | 0.004717 | 0.602304 | 0.673800 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Temporal Discontinuties | 1.029362 | 0.561198 | -0.561607 | -0.700940 | 0.647574 | 0.035712 | -0.050098 | 1.029362 | 0.453983 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 7.514284 | -1.445634 | 7.514284 | 1.213504 | -0.887548 | 0.670711 | -0.490393 | 1.917094 | -0.247603 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 2.627513 | 2.627513 | -0.264344 | 0.105212 | 1.513825 | -0.437266 | 0.881351 | 0.249019 | 1.122774 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Power | 1.537038 | 1.026254 | 0.130047 | -0.792910 | 1.537038 | 0.919595 | -1.814375 | 0.669910 | 0.253573 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Temporal Discontinuties | 1.261926 | -1.092125 | -0.793135 | -0.164026 | 0.154233 | 0.822334 | -0.478821 | 1.261926 | 0.500024 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 1.548185 | 1.229118 | 1.548185 | 0.573191 | -0.410279 | -0.591767 | 0.540997 | -0.014327 | 1.197497 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 5.788321 | -1.096294 | 5.788321 | -0.611147 | -0.144128 | -0.505020 | 0.826472 | 1.393617 | -0.699414 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 1.966680 | 0.275690 | -0.314803 | -0.503510 | -1.068169 | 0.740483 | -1.410140 | 1.966680 | -0.375719 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Discontinuties | 1.150497 | 0.129111 | -0.081503 | -0.053719 | -0.472796 | -0.103471 | -1.216633 | 1.150497 | 0.592269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 4.805642 | 4.805642 | -0.890584 | -0.819767 | -0.865884 | -0.296672 | -0.038974 | -0.485155 | 1.196451 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 1.014442 | 1.014442 | 0.729882 | -0.631616 | 0.537001 | -0.167571 | -1.302506 | 0.856504 | 0.215576 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 8.136659 | -1.166878 | 8.136659 | -0.634728 | -0.424100 | -0.685451 | 1.242542 | 4.663183 | 0.050673 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.682368 | -0.508153 | 3.682368 | -0.279927 | -0.662242 | -0.874803 | -0.237386 | 1.102550 | -0.671637 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 6.000718 | 6.000718 | -0.634646 | 0.148403 | -0.816729 | 0.967669 | -0.491830 | -0.247534 | 0.414223 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 3.302315 | -0.775620 | 3.302315 | -0.822916 | -0.331428 | -0.764743 | -0.604101 | 1.913531 | -0.844329 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Temporal Variability | 10.604000 | -0.399574 | 3.165550 | -0.531448 | -0.712789 | 10.604000 | 10.408255 | 4.295631 | 4.750487 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Power | inf | 190.771639 | 190.692969 | inf | inf | 2234.238096 | 2236.246761 | 4906.128936 | 4886.630179 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 1.028098 | -0.886778 | 1.028098 | -0.868830 | -0.614288 | -1.225077 | -0.272488 | -0.665162 | -0.753297 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Temporal Discontinuties | 3.539642 | 2.740368 | -0.884883 | -0.690691 | -0.577828 | 1.706936 | 1.331262 | 3.539642 | 3.375140 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 2.790110 | 0.626112 | 2.790110 | -0.884478 | -0.519388 | 0.000630 | 0.094252 | 0.527779 | 0.080885 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Power | inf | 328.427068 | 328.728360 | inf | inf | 611.179575 | 644.225075 | 1969.613362 | 2072.796953 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | ee Shape | 2.301238 | -0.878324 | 2.301238 | -0.832343 | -0.936657 | -0.187931 | -0.286897 | 1.124186 | -0.660776 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |